Approximately 1 in 4 frac jobs fail to meet performance objectives. With 28-30B being spent on frac programs each year, that's a loss of 7B. Engineers in the field indicate that this massive problem is due to a lack of understanding of the subsurface.* Natural fractures play a huge role in effective well positioning and field planning programs, so understanding their density and orientation is essential. The SIGMA³ Continuous Fracture Modeling (CFM™) workflow is a revolutionary approach that allows oil companies to:

Understand where fractures are actually located, how many there are, and their orientation

CFM leverages all available well, log, seismic and engineering data to crack the shale puzzle. Key drivers, such as brittleness, closure stress, TOC, porosity, and proximity to natural fracture systems. Using an advanced, proprietary artificial intelligence methodology to find and rank correlations that exist between large volumes of well data, production data, and seismic attributesl, CFM seismically driven reservoir modeling provides more accurate estimates of reservoir properties.

The end result from a CFM program is a composite super-attribute driven reservoir model which defines the best locations to drill, frac, and produce hydrocarbons given the unique composition of the key drivers .

For the majority of the world's reservoirs where natural fractures influence production, this innovative breakthrough means higher initial production rates, increased estimated ultimate recoveries, and optimized well plans that increase production.